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Future projections of daily maximum and minimum temperatures over East Asia for the carbon neutrality period of 2050-2060

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Abstract

Future climate projections provide vital information for preventing and reducing disaster risks induced by the global warming. However, little attention has been paid to climate change projections oriented towards carbon neutrality. In this study, we address projected changes in daily maximum (Tmax) and minimum (Tmin) temperatures as well as diurnal temperature range (DTR) over East Asia for the carbon neutrality period of 2050–2060 under the newly available SSP1-1.9 pathway of sustainable development by using CMIP6 model simulations. CMIP6 multi-model ensemble results show that Tmax and Tmin will significantly increase with varying magnitudes during the carbon neutrality period of 2050–2060 under SSP1-1.9 over the whole East Asia while both upward and downward changes will occur for the DTR. Projected Tmax, Tmin, and DTR changes all exhibit new spatial patterns during 2050–2060 under SSP1-1.9 compared with those over the same period under SSP2-4.5 and SSP5-8.5. Compared to 1995–2014, projected Tmax and Tmin averaged over East Asia during 2050–2060 will significantly warm up by 1.43 ℃ and 1.40 ℃ under SSP1-1.9, while the warming magnitudes are 1.93 ℃ and 2.04 ℃ under SSP2-4.5, and 2.67 ℃ and 2.85 ℃ under SSP5-8.5. Research on carbon neutrality-oriented climate change projections needs to be strengthened for jointly achieving a net-zero future.

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Data availability

The data that support these findings are freely available: The global CO2 emissions data are stored at https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=about; the observed Tmax, Tmin, and DTR data are stored at https://crudata.uea.ac.uk/cru/data/hrg/cru_ts_4.05/. The data from the historical, SSP1-1.9, SSP2-4.5, and SSP5-8.5 simulations in CMIP6 are stored at https://esgf-node.llnl.gov/search/cmip6/.

Code availability

The codes used in this study are available from the corresponding author upon reasonable request.

References

  • Adeyeri OE, Laux P, Lawin AE, Oyekan KSA (2020) Multiple bias-correction of dynamically downscaled CMIP5 climate models temperature projection: a case study of the transboundary Komadugu-Yobe river basin, Lake Chad region. West Africa SN Appl Sci 2:1221. https://doi.org/10.1007/s42452-020-3009-4

    Article  Google Scholar 

  • Dai AG, Trenberth KE, Karl TR (1999) Effects of clouds, soil moisture, precipitation, and water vapor on diurnal temperature range. J Climate 12:2451–2473

    Article  Google Scholar 

  • Dieng D, Cannon AJ, Laux P, Hald C, Adeyeri O, Rahimi J et al (2022) Multivariate bias-correction of high-resolution regional climate change simulations for West Africa: performance and climate change implications. J Geophys Res: Atmos 127:e2021JD034836. https://doi.org/10.1029/2021JD034836

  • Energy and Climate Intelligence (2022) Unit Net zero tracker. https://eciu.net/netzerotracker

  • Eyring V, Bony S, Meehl GA, Senior CA, Stevens B, Stouffer RJ, Taylor KE (2016) Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geosci Model Dev 9:1937–1958

    Article  Google Scholar 

  • Gidden MJ,  Riahi K, Smith SJ, Fujimori S, Takahashi K (2019) Global emissions pathways under different socioeconomic scenarios for use in CMIP6: a dataset of harmonized emissions trajectories through the end of the century. Geosci Model Dev 12:1443–1475

    Article  Google Scholar 

  • Harris I, Osborn TJ, Jones P, Lister D (2020) Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci Data 7:109. https://doi.org/10.1038/s41597-020-0453-3

    Article  Google Scholar 

  • Hausfather Z, Drake HF, Abbott T, Schmidt GA (2020) Evaluating the performance of past climate model projections. Geophys Res Lett 47:e2019GL085378. https://doi.org/10.1029/2019GL085378

  • Höhne N, Gidden MJ, Elzen Md, Hans F, Fyson C, Geiges A et al (2021) Wave of net zero emission targets opens window to meeting the Paris Agreement. Nat Clim Chang 11:820–822

    Article  Google Scholar 

  • Horton RM, Mankin JS, Lesk C, Coffel E, Raymond C (2016) A review of recent advances in research on extreme heat events. Curr Clim Change Rep 2:242–259

    Article  Google Scholar 

  • IEA (2021) Net Zero by 2050, IEA, Paris. https://www.iea.org/reports/net-zero-by-2050

  • IPCC (2014) Climate change 2014: synthesis report[C]//Core Writing Team, Pachauri RK and Meyer LA. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva, Switzerland, pp 1–151. https://www.ipcc.ch/report/ar5/syr/

  • IPCC (2018) Summary for policymakers. Global warming of 1.5°C[C]// Masson-Delmotte V, Zhai P, Pörtner H O, Roberts D, Skea J, Shukla PR et al. An IPCC Special Report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty. Geneva, Switzerland: World Meteorol Org, pp 3–24. https://doi.org/10.1017/9781009157940.001

  • IPCC (2021) Summary for policymakers. In: Masson-Delmotte V, Zhai P, Pirani A, Connors SL, Péan C, Berger S et al (eds) Climate change 2021: the physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Camb Univ Press, Cambridge, pp 3–32. https://doi.org/10.1017/9781009157896.001

  • IPCC (2022a) Summary for policymakers In: Pörtner H-O, Roberts DC, Tignor M, Poloczanska ES, Mintenbeck K, Alegría A et al (eds) Climate change 2022a: impacts, adaptation, and vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Camb Univ Press, Cambridge. https://www.ipcc.ch/report/sixth-assessment-report-working-group-ii/

  • IPCC (2022b) Summary for policymakers. In: Shukla PR, Skea J, Slade R, Khourdajie AA, van Diemen R, McCollum D et al (eds) Climate change 2022b: mitigation of climate change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Camb Univ Press, Cambridge. https://doi.org/10.1017/9781009157926.001

  • Meehl GA, Boer GJ, Covey C, Latif M, Stouffer RJ (2000) The Coupled Model Intercomparison Project (CMIP). Bull Am Meteorol Soc 81(2):313–318

    Article  Google Scholar 

  • Meinshausen M, Lewis J, McGlade C,  Gütschow J, Nicholls Z, Burdon R et al (2022) Realization of Paris Agreement pledges may limit warming just below 2 °C. Nature 604:304–309

    Article  Google Scholar 

  • Mora C,  Dousset B, Caldwell IR, Powell FE, Geronimo RC, Bielecki CR et al (2017) Global risk of deadly heat. Nat Clim Chang 7:501–507

    Article  Google Scholar 

  • Moore FC, Lacasse K, Mach KJ, Shin YA, Gross LJ, Beckage B (2022) Determinants of emissions pathways in the coupled climate–social system. Nature 603:103–111

    Article  Google Scholar 

  • Obradovich N, Migliorini R, Mednick SC, Fowler JH (2017) Nighttime temperature and human sleep loss in a changing climate. Sci Adv 3:e1601555

    Article  Google Scholar 

  • O’Neill BC, Carter TR, Ebi K, Harrison PA, Kemp-Benedict E, Kok K et al (2020) Achievements and needs for the climate change scenario framework. Nat Clim Chang 10:1074–1084

    Article  Google Scholar 

  • Rogelj J, Popp A, Calvin KV, Luderer G, Emmerling J, Gernaat D et al (2018) Scenarios towards limiting global mean temperature increase below 1.5 oC. Nat Clim Chang 8:325–332

    Article  Google Scholar 

  • Roy SS, Robert C, Balling J (2005) Analysis of trends in maximum and minimum temperature, diurnal temperature range, and cloud cover over India. Geophys Res Lett 32(12):L12702. https://doi.org/10.1029/2004GL022201

    Article  Google Scholar 

  • Taylor KE (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res 106:7183–7192

    Article  Google Scholar 

  • Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc 93:485–498

    Article  Google Scholar 

  • Thiery W, Lange S, Rogelj J, Schleussner C-F, Gudmundsson L, Seneviratne SI et al (2021) Intergenerational inequities in exposure to climate extremes. Science 374:158–160

    Article  Google Scholar 

  • Teng F, Wang T, Guo J (2021) Carbon neutrality targets and climate risks: An assessment of economic damage from climate change, in China-UK risk assessment project phase III. http://www.3e.tsinghua.edu.cn/en/article/244

  • Tong D, Zhang Q, Zheng YX, Caldeira K, Shearer C, Hong CP, Qin Y, Davis SJ (2019) Committed emissions from existing energy infrastructure jeopardize 1.5 °C climate target. Nature 572:373–377

    Article  Google Scholar 

  • UNEP (2020) Emissions gap report 2020. Nairobi. https://www.unep.org/emissions-gap-report-2020

  • UNFCCC (2015) Paris Agreement: Decision 1/CP.17 - UNFCCC Document FCCC/CP/2015/L.9/Rev.1. http://unfccc.int/resource/docs/2015/cop21/eng/l09r01.pdf

  • Watts N, Amann M, Arnell N, Ayeb-Karlsson S, Belesova K, Boykoff M et al (2019) The 2019 report of The Lancet Countdown on health and climate change: ensuring that the health of a child born today is not defined by a changing climate. Lancet 394:1836–1878

    Article  Google Scholar 

  • WMO (2021) State of the global climate 2020, WMO-No. 1264. https://library.wmo.int/doc_num.php?explnum_id=10618

  • WMO (2022) State of the global climate 2021, WMO-No. 1290. https://library.wmo.int/doc_num.php?explnum_id=11178

  • WMO, GCP, IPCC, UNEP, WHO, the Met office et al (2021) United in science 2021: a multi-organization high-level compilation of the latest climate science information. https://library.wmo.int/doc_num.php?explnum_id=10794

  • Yang ZM, Zhang JY (2020) Dataset of high temperature extremes over the major land areas of the Belt and Road for 1979–2018. Big Earth Data 4(2):128–141

    Article  Google Scholar 

  • Yang J, Zhou MG, Ren ZP, Li MM, Liu QY (2021) Projecting heat-related excess mortality under climate change scenarios in China. Nat Commun 12:1039

    Article  Google Scholar 

  • Zhang JY, Wang WC, Wu LY (2009) Land-atmosphere coupling and diurnal temperature range over the contiguous United States. Geophys Res Lett 36(6):L06706. https://doi.org/10.1029/2009GL037505

    Article  Google Scholar 

  • Zhang JY, Zhuang YH, Zhang JP, Teng F, Xie ZY, Zhang X (2021) Projections of future mean and extreme climate changes over the BRI regions under the carbon neutrality target. China Meteorol Press, Beijing, pp 1–102 (in Chinese with English abstract)

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Acknowledgements

We would like to thank the World Climate Research Programme (WCRP) which coordinated CMIP6, and the climate modeling groups participating in CMIP6 for making their model outputs available.

Funding

This work was supported by the National Key R&D Program of China (2018YFA0606501, 2017YFA0603601). Jingyong Zhang was also supported by the Jiangsu Collaborative Innovation Center for Climate Change.

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Jingyong Zhang conceived and designed the research. Feng Chen performed the analysis and prepared figures. Jingyong Zhang wrote the manuscript with contribution from Feng Chen.

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Correspondence to Jingyong Zhang.

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Zhang, J., Chen, F. Future projections of daily maximum and minimum temperatures over East Asia for the carbon neutrality period of 2050-2060. Theor Appl Climatol 150, 203–213 (2022). https://doi.org/10.1007/s00704-022-04155-9

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